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"""!
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@brief CCORE Wrapper for oscillatory neural network based on Kuramoto model.
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@authors Andrei Novikov ([email protected])
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@date 2014-2017
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@copyright GNU Public License
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@cond GNU_PUBLIC_LICENSE
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PyClustering is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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PyClustering is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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@endcond
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"""
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from pyclustering.core.wrapper import *;
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from pyclustering.core.pyclustering_package import pyclustering_package, package_extractor;
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def sync_create_network(num_osc, weight, frequency, type_conn, initial_phases):
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ccore = load_core();
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ccore.sync_create_network.restype = POINTER(c_void_p);
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pointer_network = ccore.sync_create_network(c_uint(num_osc), c_double(weight), c_double(frequency), c_uint(type_conn), c_uint(initial_phases));
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return pointer_network;
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def sync_get_size(pointer_network):
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ccore = load_core();
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ccore.sync_get_size.restype = c_size_t;
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return ccore.sync_get_size(pointer_network);
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def sync_destroy_network(pointer_network):
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ccore = load_core();
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ccore.sync_destroy_network(pointer_network);
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def sync_simulate_static(pointer_network, steps, time, solution, collect_dynamic):
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ccore = load_core();
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ccore.sync_simulate_static.restype = POINTER(c_void_p);
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return ccore.sync_simulate_static(pointer_network, c_uint(steps), c_double(time), c_uint(solution), c_bool(collect_dynamic));
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def sync_simulate_dynamic(pointer_network, order, solution, collect_dynamic, step, int_step, threshold_changes):
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ccore = load_core();
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ccore.sync_simulate_dynamic.restype = POINTER(c_void_p);
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return ccore.sync_simulate_dynamic(pointer_network, c_double(order), c_uint(solution), c_bool(collect_dynamic), c_double(step), c_double(int_step), c_double(threshold_changes));
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def sync_order(pointer_network):
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ccore = load_core();
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ccore.sync_order.restype = c_double;
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return ccore.sync_order(pointer_network);
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def sync_local_order(pointer_network):
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ccore = load_core();
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ccore.sync_local_order.restype = c_double;
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return ccore.sync_local_order(pointer_network);
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def sync_connectivity_matrix(pointer_network):
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ccore = load_core();
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ccore.sync_connectivity_matrix.restype = POINTER(pyclustering_package);
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package = ccore.sync_connectivity_matrix(pointer_network);
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connectivity_matrix = package_extractor(package).extract();
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ccore.free_pyclustering_package(package);
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return connectivity_matrix;
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def sync_dynamic_get_size(pointer_dynamic):
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ccore = load_core();
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ccore.sync_dynamic_get_time.restype = c_size_t;
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return ccore.sync_dynamic_get_size(pointer_dynamic);
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def sync_dynamic_destroy(pointer_dynamic):
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ccore = load_core();
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ccore.sync_dynamic_destroy(pointer_dynamic);
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def sync_dynamic_allocate_sync_ensembles(pointer_dynamic, tolerance, iteration):
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if (iteration is None):
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iteration = sync_dynamic_get_size(pointer_dynamic) - 1;
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ccore = load_core();
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ccore.sync_dynamic_allocate_sync_ensembles.restype = POINTER(pyclustering_package);
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package = ccore.sync_dynamic_allocate_sync_ensembles(pointer_dynamic, c_double(tolerance), c_size_t(iteration));
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result = package_extractor(package).extract();
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ccore.free_pyclustering_package(package);
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return result;
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def sync_dynamic_allocate_correlation_matrix(pointer_dynamic, iteration):
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analyse_iteration = iteration;
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if (analyse_iteration is None):
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analyse_iteration = sync_dynamic_get_size(pointer_dynamic) - 1;
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ccore = load_core();
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ccore.sync_dynamic_allocate_correlation_matrix.restype = POINTER(pyclustering_package);
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package = ccore.sync_dynamic_allocate_correlation_matrix(pointer_dynamic, c_uint(analyse_iteration));
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result = package_extractor(package).extract();
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ccore.free_pyclustering_package(package);
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return result;
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def sync_dynamic_get_output(pointer_dynamic):
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ccore = load_core();
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ccore.sync_dynamic_get_output.restype = POINTER(pyclustering_package);
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package = ccore.sync_dynamic_get_output(pointer_dynamic);
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result = package_extractor(package).extract();
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ccore.free_pyclustering_package(package);
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return result;
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def sync_dynamic_get_time(pointer_dynamic):
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ccore = load_core();
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ccore.sync_dynamic_get_time.restype = POINTER(pyclustering_package);
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package = ccore.sync_dynamic_get_time(pointer_dynamic);
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result = package_extractor(package).extract();
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ccore.free_pyclustering_package(package);
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return result;
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annoviko /
pyclustering
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